The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-20"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8791804 (up from 8664986 yesterday: 1.46 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "464465 (up from 460018 yesterday: 0.97 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.28



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2255119 32307 1.45 119719 594 0.50 5.31
Brazil 1032913 0 0.00 49976 1022 2.09 4.84
Russia 576162 7870 1.38 7992 161 2.06 1.39
India 410461 15413 3.90 13254 306 2.36 3.23
United Kingdom 304580 1295 0.43 42674 128 0.30 14.01
Peru 251338 6950 2.84 7861 400 5.36 3.13
Spain 245938 363 0.15 28322 7 0.02 11.52
Italy 238275 264 0.11 34610 49 0.14 14.53
Chile 236748 5355 2.31 4295 202 4.94 1.81
Iran 202584 2322 1.16 9507 115 1.22 4.69
France 196724 641 0.33 29636 16 0.05 15.06
Germany 190670 371 0.19 8895 8 0.09 4.67
Turkey 186493 1248 0.67 4927 22 0.45 2.64
Pakistan 176617 4951 2.88 3501 119 3.52 1.98
Mexico 175202 4717 2.77 20781 387 1.90 11.86
Saudi Arabia 154233 3941 2.62 1230 46 3.89 0.80
Bangladesh 108775 3240 3.07 1425 37 2.67 1.31
Canada 102762 448 0.44 8466 58 0.69 8.24
South Africa 92681 4966 5.66 1877 46 2.51 2.03
Qatar 86488 1026 1.20 94 1 1.08 0.11
China 84553 59 0.07 4639 1 0.02 5.49
Colombia 63454 3067 5.08 2148 102 4.99 3.39
Belgium 60550 74 0.12 9696 1 0.01 16.01
Belarus 57936 603 1.05 343 6 1.78 0.59
Sweden 56043 0 0.00 5053 0 0.00 9.02
Egypt 53758 1547 2.96 2106 89 4.41 3.92
Ecuador 49731 0 0.00 4156 0 0.00 8.36
Netherlands 49710 76 0.15 6108 8 0.13 12.29
Indonesia 45029 1226 2.80 2429 56 2.36 5.39
United Arab Emirates 44533 388 0.88 301 1 0.33 0.68
Singapore 41833 218 0.52 26 0 0.00 0.06
Argentina 41204 1634 4.13 992 13 1.33 2.41
Kuwait 39145 467 1.21 319 6 1.92 0.81
Portugal 38841 377 0.98 1528 1 0.07 3.93
Ukraine 36615 860 2.41 1004 9 0.90 2.74
Poland 31620 304 0.97 1346 12 0.90 4.26
Switzerland 31243 8 0.03 1956 0 0.00 6.26
Philippines 29400 941 3.31 1150 20 1.77 3.91
Iraq 29222 1870 6.84 1013 88 9.51 3.47
Oman 28566 896 3.24 128 3 2.40 0.45
Afghanistan 28424 546 1.96 569 21 3.83 2.00
Dominican Republic 25778 710 2.83 655 8 1.24 2.54
Ireland 25374 6 0.02 1715 1 0.06 6.76
Panama 25222 948 3.91 493 8 1.65 1.95
Romania 23730 330 1.41 1500 16 1.08 6.32
Bolivia 23512 1036 4.61 740 25 3.50 3.15
Bahrain 21331 415 1.98 60 3 5.26 0.28
Israel 20633 294 1.45 305 1 0.33 1.48
Nigeria 19808 661 3.45 506 19 3.90 2.55
Armenia 19708 551 2.88 332 13 4.08 1.68
Japan 17725 67 0.38 955 4 0.42 5.39
Austria 17323 52 0.30 688 0 0.00 3.97
Kazakhstan 17225 446 2.66 118 5 4.42 0.69
Moldova 13953 397 2.93 464 14 3.11 3.33
Ghana 13717 514 3.89 85 15 21.43 0.62
Serbia 12803 94 0.74 260 1 0.39 2.03
Guatemala 12755 246 1.97 514 31 6.42 4.03
Denmark 12591 0 0.00 600 0 0.00 4.77
Korea, South 12421 48 0.39 280 0 0.00 2.25
Honduras 12306 1048 9.31 358 9 2.58 2.91
Azerbaijan 12238 471 4.00 148 5 3.50 1.21
Algeria 11631 127 1.10 837 12 1.45 7.20
Cameroon 11610 972 9.14 301 19 6.74 2.59
Czechia 10448 42 0.40 336 1 0.30 3.22
Morocco 9839 226 2.35 213 0 0.00 2.16
Norway 8742 16 0.18 244 0 0.00 2.79
Nepal 8605 331 4.00 22 0 0.00 0.26
Sudan 8580 264 3.17 521 15 2.96 6.07
Malaysia 8556 21 0.25 121 0 0.00 1.41
Australia 7461 50 0.67 102 0 0.00 1.37
Cote d’Ivoire 7276 402 5.85 52 3 6.12 0.71
Finland 7142 9 0.13 326 0 0.00 4.56
Uzbekistan 6153 207 3.48 19 0 0.00 0.31
Senegal 5783 144 2.55 82 3 3.80 1.42
Congo (Kinshasa) 5672 195 3.56 125 3 2.46 2.20
Tajikistan 5399 61 1.14 52 1 1.96 0.96
Haiti 5077 97 1.95 88 1 1.15 1.73
North Macedonia 5005 185 3.84 233 11 4.95 4.66

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 387272 716 0.19 31083 68 0.22 8.03 19907.51 1597.81 1 in 50
California 175213 4351 2.55 5494 68 1.25 3.14 4434.40 139.05 1 in 226
New Jersey 168834 338 0.20 12924 22 0.17 7.65 19008.15 1455.05 1 in 53
Illinois 136104 634 0.47 6625 45 0.68 4.87 10740.68 522.81 1 in 93
Texas 109581 4187 3.97 2183 25 1.16 1.99 3779.19 75.29 1 in 265
Massachusetts 106936 286 0.27 7827 28 0.36 7.32 15387.58 1126.27 1 in 65
Florida 93797 4049 4.51 3144 40 1.29 3.35 4367.17 146.38 1 in 229
Pennsylvania 85590 391 0.46 6419 20 0.31 7.50 6685.68 501.41 1 in 150
Michigan 67545 448 0.67 6087 20 0.33 9.01 6763.39 609.50 1 in 148
Maryland 63956 408 0.64 3052 22 0.73 4.77 10578.79 504.82 1 in 95
Georgia 63809 1800 2.90 2642 6 0.23 4.14 6009.84 248.84 1 in 166
Virginia 57443 650 1.14 1607 5 0.31 2.80 6729.88 188.27 1 in 149
North Carolina 51390 1372 2.74 1215 12 1.00 2.36 4899.85 115.85 1 in 204
Arizona 50127 3217 6.86 1346 25 1.89 2.69 6582.76 176.76 1 in 152
Louisiana 49385 870 1.79 3104 20 0.65 6.29 10623.19 667.70 1 in 94
Connecticut 45715 158 0.35 4251 13 0.31 9.30 12822.25 1192.33 1 in 78
Ohio 44261 530 1.21 2697 30 1.12 6.09 3786.52 230.73 1 in 264
Indiana 42061 315 0.75 2536 20 0.79 6.03 6247.72 376.70 1 in 160
Tennessee 34446 429 1.26 524 9 1.75 1.52 5041.00 76.68 1 in 198
Minnesota 32467 436 1.36 1404 11 0.79 4.32 5756.94 248.95 1 in 174
Colorado 30333 161 0.53 1647 4 0.24 5.43 5267.30 286.00 1 in 190
Alabama 29549 547 1.89 838 16 1.95 2.84 6026.49 170.91 1 in 166
Washington 28225 624 2.26 1265 10 0.80 4.48 3706.55 166.12 1 in 270
Iowa 25496 222 0.88 681 0 0.00 2.67 8080.96 215.84 1 in 124
Wisconsin 24539 385 1.59 744 14 1.92 3.03 4214.56 127.78 1 in 237
South Carolina 23756 1148 5.08 644 5 0.78 2.71 4613.97 125.08 1 in 217
Mississippi 20641 0 0.00 938 0 0.00 4.54 6935.47 315.17 1 in 144
Missouri 18056 389 2.20 965 7 0.73 5.34 2941.95 157.23 1 in 340
Nebraska 17707 119 0.68 244 0 0.00 1.38 9153.70 126.14 1 in 109
Utah 17068 643 3.91 155 0 0.00 0.91 5323.84 48.35 1 in 188
Rhode Island 16337 0 0.00 894 0 0.00 5.47 15421.56 843.90 1 in 65
Arkansas 15142 511 3.49 224 10 4.67 1.48 5017.52 74.23 1 in 199
Kentucky 13630 176 1.31 524 2 0.38 3.84 3050.81 117.29 1 in 328
Nevada 12976 452 3.61 486 7 1.46 3.75 4212.77 157.78 1 in 237
Kansas 12097 76 0.63 256 3 1.19 2.12 4152.32 87.87 1 in 241
Delaware 10681 70 0.66 434 1 0.23 4.06 10968.78 445.69 1 in 91
New Mexico 10430 170 1.66 466 2 0.43 4.47 4974.18 222.24 1 in 201
Oklahoma 10038 331 3.41 368 1 0.27 3.67 2536.79 93.00 1 in 394
District of Columbia 9984 32 0.32 531 1 0.19 5.32 14146.67 752.39 1 in 71
Oregon 6572 0 0.00 188 0 0.00 2.86 1558.18 44.57 1 in 642
Puerto Rico 6463 268 4.33 147 0 0.00 2.27 2023.68 46.03 1 in 494
South Dakota 6225 67 1.09 81 0 0.00 1.30 7036.61 91.56 1 in 142
New Hampshire 5518 32 0.58 339 2 0.59 6.14 4058.22 249.32 1 in 246
Idaho 4004 133 3.44 89 0 0.00 2.22 2234.29 49.66 1 in 448
North Dakota 3251 25 0.77 76 0 0.00 2.34 4266.06 99.73 1 in 234
Maine 2938 25 0.86 102 0 0.00 3.47 2185.67 75.88 1 in 458
West Virginia 2500 32 1.30 88 0 0.00 3.52 1398.88 49.24 1 in 715
Wyoming 1179 6 0.51 20 0 0.00 1.70 2037.12 34.56 1 in 491
Vermont 1147 3 0.26 56 0 0.00 4.88 1838.17 89.75 1 in 544
Hawaii 789 0 0.00 17 0 0.00 2.15 557.25 12.01 1 in 1795
Alaska 741 21 2.92 12 0 0.00 1.62 1012.92 16.40 1 in 987
Montana 698 32 4.80 20 0 0.00 2.87 653.08 18.71 1 in 1531

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3327793 387272 11.64 171063.44
California 3234412 175213 5.42 81858.52
New Jersey 1218873 168834 13.85 137226.63
Illinois 1337968 136104 10.17 105586.09
Texas 1463398 109581 7.49 50469.17
Massachusetts 764937 106936 13.98 110070.75
Florida 1561272 93797 6.01 72692.57
Pennsylvania 647727 85590 13.21 50595.81
Michigan 894634 67545 7.55 89581.14
Maryland 462280 63956 13.83 76464.52
Georgia 694384 63809 9.19 65400.43
Virginia 531404 57443 10.81 62257.96
North Carolina 731341 51390 7.03 69730.66
Arizona 405280 50127 12.37 53222.02
Louisiana 604816 49385 8.17 130101.70
Connecticut 391655 45715 11.67 109852.31
Ohio 629965 44261 7.03 53893.37
Indiana 401802 42061 10.47 59683.44
Tennessee 675340 34446 5.10 98832.55
Minnesota 492043 32467 6.60 87247.36
Colorado 273069 30333 11.11 47418.22
Alabama 339523 29549 8.70 69245.40
Washington 455941 28225 6.19 59874.91
Iowa 250207 25496 10.19 79303.15
Wisconsin 479102 24539 5.12 82285.52
South Carolina 296249 23756 8.02 57538.45
Mississippi 238715 20641 8.65 80209.36
Missouri 311115 18056 5.80 50691.43
Nebraska 151854 17707 11.66 78501.54
Utah 292877 17068 5.83 91353.97
Rhode Island 214589 16337 7.61 202564.56
Arkansas 242234 15142 6.25 80267.74
Kentucky 317161 13630 4.30 70990.20
Nevada 238963 12976 5.43 77581.46
Kansas 147649 12097 8.19 50680.77
Delaware 92416 10681 11.56 94905.95
New Mexico 284602 10430 3.66 135729.71
Oklahoma 281962 10038 3.56 71257.03
District of Columbia 77953 9984 12.81 110454.28
Oregon 194095 6572 3.39 46018.75
Puerto Rico 6463 6463 100.00 2023.68
South Dakota 71915 6225 8.66 81291.21
New Hampshire 105567 5518 5.23 77639.29
Idaho 71196 4004 5.62 39728.47
North Dakota 94231 3251 3.45 123652.67
Maine 79576 2938 3.69 59199.00
West Virginia 148396 2500 1.68 83035.14
Wyoming 36480 1179 3.23 63031.42
Vermont 57028 1147 2.01 91392.64
Hawaii 66734 789 1.18 47132.79
Alaska 86918 741 0.85 118814.29
Montana 69530 698 1.00 65055.61

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 128205 3874 3.12 64153 50.04 58055 5984 91 1.54 4.67
Delhi 59746 6630 12.48 33013 55.26 24558 2175 140 6.88 3.64
Tamil Nadu 59377 2532 4.45 32754 55.16 25866 757 53 7.53 1.27
Gujarat 26737 539 2.06 18702 69.95 6396 1639 20 1.24 6.13
Uttar Pradesh 17135 541 3.26 10369 60.51 6237 529 22 4.34 3.09
Rajasthan 14691 377 2.63 11395 77.56 2955 341 8 2.40 2.32
West Bengal 13531 441 3.37 7865 58.13 5126 540 11 2.08 3.99
Madhya Pradesh 11724 0 0.00 8880 75.74 2343 501 0 0.00 4.27
Haryana 10338 486 4.93 5164 49.95 5024 150 6 4.17 1.45
Karnataka 9150 453 5.21 5616 61.38 3392 138 4 2.99 1.51
State Unassigned 9127 -138 -1.49 0 0.00 9127 0 0 NaN 0.00
Andhra Pradesh 8929 477 5.64 4307 48.24 4516 106 5 4.95 1.19
Bihar 7602 222 3.01 5631 74.07 1920 51 2 4.08 0.67
Telangana 7072 546 8.37 3506 49.58 3363 203 5 2.53 2.87
Jammu and Kashmir 5956 276 4.86 3382 56.78 2492 82 7 9.33 1.38
Assam 5388 382 7.63 3203 59.45 2173 9 0 0.00 0.17
Odisha 5160 304 6.26 3720 72.09 1421 19 4 26.67 0.37
Punjab 4074 242 6.32 2700 66.27 1275 99 7 7.61 2.43
Kerala 3173 133 4.38 1659 52.28 1490 22 0 0.00 0.69
Uttarakhand 2324 46 2.02 1486 63.94 796 27 0 0.00 1.16
Chhattisgarh 2134 116 5.75 1368 64.10 755 11 1 10.00 0.52
Jharkhand 2024 63 3.21 1404 69.37 609 11 0 0.00 0.54
Tripura 1189 8 0.68 680 57.19 508 1 0 0.00 0.08
Ladakh 837 1 0.12 134 16.01 702 1 0 0.00 0.12
Goa 818 93 12.83 135 16.50 683 0 0 NaN 0.00
Manipur 777 96 14.10 232 29.86 545 0 0 NaN 0.00
Himachal Pradesh 662 12 1.85 406 61.33 236 7 0 0.00 1.06
Chandigarh 406 25 6.56 316 77.83 84 6 0 0.00 1.48
Puducherry 366 28 8.28 140 38.25 218 8 1 14.29 2.19
Nagaland 211 10 4.98 141 66.82 70 0 0 NaN 0.00
Mizoram 141 1 0.71 9 6.38 132 0 0 NaN 0.00
Arunachal Pradesh 135 0 0.00 15 11.11 120 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 92 9 10.84 26 28.26 66 0 0 NaN 0.00
Sikkim 70 0 0.00 21 30.00 49 0 0 NaN 0.00
Andaman and Nicobar Islands 48 1 2.13 37 77.08 11 0 0 NaN 0.00
Meghalaya 43 0 0.00 37 86.05 5 1 0 0.00 2.33
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 949134 92840 165 0.18 9.78 1401 54 13911 16557 17.83
Piemonte 387713 31215 27 0.09 8.05 358 17 2088 4045 12.96
Emilia-Romagna 449616 28198 28 0.10 6.27 140 11 1207 4230 15.00
Veneto 870830 19238 3 0.02 2.21 27 1 575 2002 10.41
Toscana 309250 10207 2 0.02 3.30 19 12 414 1095 10.73
Liguria 135379 9920 10 0.10 7.33 61 3 250 1545 15.57
Lazio 316109 8009 14 0.18 2.53 247 39 987 827 10.33
Marche 127450 6768 0 0.00 5.31 13 0 539 994 14.69
Campania 263560 4615 0 0.00 1.75 48 1 125 431 9.34
Puglia 160662 4525 5 0.11 2.82 32 1 220 540 11.93
P.A. Trento 110268 4458 0 0.00 4.04 1 0 51 466 10.45
Friuli Venezia Giulia 171947 3304 1 0.03 1.92 16 1 83 344 10.41
Abruzzo 97625 3281 1 0.03 3.36 49 3 404 459 13.99
Sicilia 189938 3070 0 0.00 1.62 21 5 140 280 9.12
P.A. Bolzano 79333 2618 0 0.00 3.30 3 1 76 292 11.15
Umbria 87789 1438 0 0.00 1.64 5 2 17 78 5.42
Sardegna 75217 1369 1 0.07 1.82 9 0 28 132 9.64
Valle d’Aosta 17297 1193 2 0.17 6.90 4 0 6 146 12.24
Calabria 87292 1167 3 0.26 1.34 18 0 30 97 8.31
Molise 20441 441 0 0.00 2.16 2 0 53 23 5.22
Basilicata 36975 401 0 0.00 1.08 0 1 8 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54674 124 0.23 5408 33 0.61 9.89 6403.85 633.43 1 in 156
Ontario 35044 264 0.76 2650 25 0.95 7.56 2382.03 180.13 1 in 420
Alberta 7673 48 0.63 152 0 0.00 1.98 1738.67 34.44 1 in 575
British Columbia 2790 0 0.00 168 0 0.00 6.02 545.89 32.87 1 in 1832
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 726 10 1.40 13 0 0.00 1.79 614.39 11.00 1 in 1628
Manitoba 313 2 0.64 7 0 0.00 2.24 227.22 5.08 1 in 4401
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 0 0.00 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1634 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1128 5 0.44
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 821 9 1.10
Shandong 792 7 0.88
Shanghai 698 7 1.00
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 344 6 1.74
Shaanxi 316 3 0.95
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 197 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 153 2 1.31
Gansu 151 2 1.32
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6892.17 365.89 1 in 145
Brazil 4935.08 238.78 1 in 203
Russia 3987.28 55.31 1 in 251
India 306.54 9.90 1 in 3262
United Kingdom 4584.29 642.29 1 in 218
Peru 7812.81 244.36 1 in 128
Spain 5270.85 606.99 1 in 190
Italy 3939.73 572.26 1 in 254
Chile 13116.23 237.95 1 in 76
Iran 2496.11 117.14 1 in 401
France 2936.62 442.39 1 in 341
Germany 2303.06 107.44 1 in 434
Turkey 2307.80 60.97 1 in 433
Pakistan 896.53 17.77 1 in 1115
Mexico 1356.05 160.84 1 in 737
Saudi Arabia 4682.24 37.34 1 in 214
Bangladesh NA NA 1 in NA
Canada 2733.76 225.22 1 in 366
South Africa 1634.01 33.09 1 in 612
Qatar 32773.02 35.62 1 in 31

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 212061 22244 10.49
Cook Illinois 86885 4390 5.05
Los Angeles California 81709 3112 3.81
Nassau New York 41443 2175 5.25
Suffolk New York 40908 1963 4.80
Westchester New York 34486 1413 4.10
Maricopa Arizona 28303 633 2.24
Miami-Dade Florida 25080 874 3.48
Philadelphia Pennsylvania 24841 1552 6.25
Middlesex Massachusetts 23544 1801 7.65
Wayne Michigan 22085 2687 12.17
Harris Texas 20874 322 1.54
Suffolk Massachusetts 19528 973 4.98
Hudson New Jersey 19280 1294 6.71
Bergen New Jersey 18996 1693 8.91
Essex New Jersey 18531 1759 9.49
Prince George’s Maryland 17804 658 3.70
Passaic New Jersey 16735 1013 6.05
Middlesex New Jersey 16592 1100 6.63
Fairfield Connecticut 16469 1361 8.26
Dallas Texas 16437 313 1.90
Union New Jersey 16298 1135 6.96
Essex Massachusetts 15817 1071 6.77
Montgomery Maryland 14004 714 5.10
Rockland New York 13495 667 4.94
Fairfax Virginia 13341 435 3.26
Riverside California 12778 410 3.21
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12174 1060 8.71
Worcester Massachusetts 12122 897 7.40
Oakland Michigan 11667 1076 9.22
Hartford Connecticut 11392 1344 11.80
Marion Indiana 10904 667 6.12
Broward Florida 10837 370 3.41
Hennepin Minnesota 10705 744 6.95
Orange New York 10638 473 4.45
Palm Beach Florida 10506 468 4.45
San Diego California 10484 338 3.22
Clark Nevada 10259 397 3.87
Milwaukee Wisconsin 10167 371 3.65
Orange California 9988 267 2.67
District of Columbia District of Columbia 9984 531 5.32
Ocean New Jersey 9413 845 8.98
Lake Illinois 9279 398 4.29
King Washington 9154 601 6.57
Norfolk Massachusetts 8983 908 10.11
San Bernardino California 8959 233 2.60
Monmouth New Jersey 8925 694 7.78
Salt Lake Utah 8687 102 1.17
Jefferson Louisiana 8647 477 5.52

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc